Publications (10)

¹ Publications considered as the group’s output.

View referenced research data.

filter_list Artificial Intelligence

2021

  1. Modelos de inteligencia artificial para asesorar el proceso evaluador de trabajos informáticos complejos

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 6, pp. 43-50

  2. PSO-PARSIMONY: a New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections

    Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings

2019

  1. Parsimonious Modeling for Estimating Hospital Cooling Demand to Reduce Maintenance Costs and Power Consumption

    Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings

2018

  1. GAparsimony: An R package for searching parsimonious models by combining hyperparameter optimization and feature selection

    Lecture Notes in Computer Science, Vol. 10870 LNAI, pp. 62-73

2017

  1. Hybrid methodology based on bayesian optimization and ga-parsimony for searching parsimony models by combining hyperparameter optimization and feature selection

    Lecture Notes in Computer Science, Vol. 10334 LNCS, pp. 52-62

  2. Searching parsimonious solutions with GA-PARSIMONY and XGboost in high-dimensional databases

    Advances in Intelligent Systems and Computing, pp. 201-210

2015

  1. Current Status and FutureTrends of the Evaluation ofSolar Global Irradiation usingSoft-Computing-Based Models

    Soft Computing Applications for Renewable Energy and Energy Efficiency (IGI Global), pp. 1-22

2014

  1. Current status and future trends of the evaluation of solar global irradiation using soft-computing-based models

    Soft Computing Applications for Renewable Energy and Energy Efficiency, pp. 1-22

2013

  1. Comparative methodology of non-linear models for predicting rheological properties of rubber mixtures in industrial lines

    Comunicaciones presentadas al XVII Congreso Internacional de Dirección e Ingeniería de Proyectos, celebrado en Logroño del 17 al 19 de julio de 2013

2011

  1. Predictive models for bolted T-stub connections combining FEM with Intelligent Artificial techniques

    Computational Plasticity XI - Fundamentals and Applications, COMPLAS XI, pp. 1467-1478